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基于FRFT域特征差异的压制干扰检测与分类算法

王国宏 白杰 张翔宇 孙殿星

王国宏, 白杰, 张翔宇, 等 . 基于FRFT域特征差异的压制干扰检测与分类算法[J]. 北京航空航天大学学报, 2018, 44(6): 1124-1132. doi: 10.13700/j.bh.1001-5965.2017.0423
引用本文: 王国宏, 白杰, 张翔宇, 等 . 基于FRFT域特征差异的压制干扰检测与分类算法[J]. 北京航空航天大学学报, 2018, 44(6): 1124-1132. doi: 10.13700/j.bh.1001-5965.2017.0423
WANG Guohong, BAI Jie, ZHANG Xiangyu, et al. Detection and classification algorithm of suppression interference based on characteristic differences of FRFT domain[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(6): 1124-1132. doi: 10.13700/j.bh.1001-5965.2017.0423(in Chinese)
Citation: WANG Guohong, BAI Jie, ZHANG Xiangyu, et al. Detection and classification algorithm of suppression interference based on characteristic differences of FRFT domain[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(6): 1124-1132. doi: 10.13700/j.bh.1001-5965.2017.0423(in Chinese)

基于FRFT域特征差异的压制干扰检测与分类算法

doi: 10.13700/j.bh.1001-5965.2017.0423
基金项目: 

国家自然科学基金 61372027

国家自然科学基金 61671462

国家自然科学基金 61501489

国家自然科学基金 61701519

泰山学者攀登计划 

详细信息
    作者简介:

    王国宏  男, 博士, 教授, 博士生导师。主要研究方向:抗干扰、信息融合、雷达组网

    白杰  男, 硕士, 助理工程师。主要研究方向:信息融合、雷达抗干扰

    张翔宇  男, 博士, 助理工程师。主要研究方向:机动目标跟踪、信息融合

    孙殿星  男, 博士, 助理工程师。主要研究方向:机动目标跟踪、信息融合

    通讯作者:

    白杰,E-mail:1541753296@qq.com

  • 中图分类号: TN954+.1

Detection and classification algorithm of suppression interference based on characteristic differences of FRFT domain

Funds: 

National Natural Science Foundation of China 61372027

National Natural Science Foundation of China 61671462

National Natural Science Foundation of China 61501489

National Natural Science Foundation of China 61701519

Taishan Scholar Climbing Plan 

More Information
  • 摘要:

    针对干信比未知情况下有源压制干扰分类识别结果可信度较低的问题, 提出了一种基于FRFT域特征差异的压制干扰检测与分类算法。首先, 通过FRFT域峰值阶次的序贯判决算法, 进行压制干扰的存在性检测, 以保证压制干扰分类识别在较高的干信比条件下进行; 然后, 在此基础上, 分别提取回波信号在FRFT域的极值阶次标准差和峰值阶次标准差作为分类识别特征量, 同时, 为避免硬判决造成的分类错误, 采用模糊判决的方法得到基于不同特征参数的分类识别结果; 最后, 按一定准则将2种分类识别结果进行融合, 以进一步提高分类识别正确率。仿真结果表明, 与现有压制干扰分类识别算法相比, 该算法较好地解决了分类识别结果可信度较低的问题, 同时具有较高的分类识别正确率。

     

  • 图 1  本文算法流程图

    Figure 1.  Flowchart of proposed algorithm

    图 2  压制干扰的分类识别正确率曲线

    Figure 2.  Classification recognition correct rate curve of suppression interference

    图 3  射频噪声干扰在FRFT域的谱分布以及峰值变换阶次

    Figure 3.  RF noise jamming spectrum distribution in FRFT domain and its order of peak

    图 4  噪声调幅干扰在FRFT域的谱分布以及峰值变换阶次

    Figure 4.  Noise AM jamming spectrum distribution in FRFT domain and its order of peak

    图 5  噪声调频干扰在FRFT域的谱分布以及峰值变换阶次

    Figure 5.  Noise FM jamming spectrum distribution in FRFT domain and its order of peak

    图 6  压制干扰存在性检测算法示意图

    Figure 6.  Schematic of suppression interference existence detection algorithm

    图 7  极值阶次标准差模糊判决示意图

    Figure 7.  Schematic of fuzzy decision of extreme order standard deviation

    图 8  压制干扰检测与分类算法流程图

    Figure 8.  Flowchart of detection and classification algorithm of suppression interference

    图 9  极值阶次标准差

    Figure 9.  Standard deviation of extreme value order

    图 10  峰值阶次标准差

    Figure 10.  Standard deviation of peak order

    图 11  射频噪声干扰检测结果及分类识别正确率

    Figure 11.  Detection results and classification recognition accuracy rate of RF noise jamming

    图 12  噪声调幅干扰检测结果及分类识别正确率

    Figure 12.  Detection results and classification recognition accuracy rate of noise AM jamming

    图 13  噪声调频干扰检测结果及分类识别正确率

    Figure 13.  Detection results and classification recognition accuracy rate of noise FM jamming

    图 14  文献[4]算法分类识别结果

    Figure 14.  Classification recognition results of Ref.4 algorithm

    图 15  不同压制干扰下本文算法与文献[4]算法分类识别结果对比

    Figure 15.  Comparison of classification and recognition results under different kinds of jamming with proposed algorithm and Ref.4 algorithm

    表  1  干扰信号仿真参数

    Table  1.   Interference signal simulation parameters

    参数 射频噪声干扰 噪声调幅干扰 噪声调频干扰
    中心频率/MHz 4 4 4
    调制噪声 白噪声 白噪声
    调制系数 0.5 100
    时间宽度/μs 50 50 50
    采样频率/MHz 20 20 20
    下载: 导出CSV
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出版历程
  • 收稿日期:  2017-06-23
  • 录用日期:  2017-07-21
  • 网络出版日期:  2018-06-20

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